Support vector regression-based Online Learning Equipment (SOLE)
By Zhuo Zhen
about the developer
The SVR-based Online Learning Equipment (SOLE) is a web-based machine learning system. The SOLE system provides three SVR-based machine learning algorithms that can be used in the Quantitative Structure-Activity Relationship (QSAR)/ Quantitative Structure-Property Relationship (QSPR) studies. For the comparison purpose, this machine learning system also includes Partial Least Squares (PLS) -- a standard linear machine learning algorithm. In addition, several feature selection methods are provided for dimension reduction of the input descriptor space. Finally, two cross-validation methods -- Leave-One-Out (LOO) and K-fold -- are provided for model hyperparameter selection.
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SAMPLE SOLE REPORT PAGES